Evaluation of a new emergency department avoidance model of care, the Cancer Urgent Assessment Clinic, in response to the COVID-19 pandemic.

Abstract

Introduction:

The Cancer Urgent Assessment Clinic (CUAC) was an emergency department (ED) avoidance/unscheduled model of care implemented in response to the COVID-19 pandemic. The aim was to reduce the risk of COVID-19 exposure and infection by providing an alternative to ED for cancer patients while undergoing anticancer treatments.

Methods:

The clinic incorporated a telephone triage process and face-to-face appointments 8am to 8pm, 7 days per week. CUAC operated between 23 March '20 and 31 July '20, led by a nurse practitioner candidate, oncology registrars, cancer nurse specialists, and overseen by oncology consultants. Evaluation followed a mixed-methods approach through (1) analysis of CUAC patient data, (2) comparison of ED cancer patient presentation data from a previous period (23 March 2019-31 July 2019), and (3) a patient survey.

Results:

In total, 400 patients were telephone triaged via CUAC, with 166 recorded as having avoided ED. There was a reduction in the number of cancer patient admissions to the ED short stay unit during the clinic period compared with the same time-period in 2019: 130 vs. 234, associated with 615 fewer hours. Patient satisfaction was positive particularly regarding ease of access, time to treatment, confidence in assessment and treatment of cancer-related concerns, and likelihood of presenting to hospital when unwell during the pandemic.

Discussion:

While initially being implemented to reduce the risk of COVID-19 exposure, this evaluation demonstrated the CUAC model was an efficient and potentially cost-saving model of care for the management of cancer patients with mild to moderate severity of disease and treatment-related concerns.

• Authors: Corrine Haugstetter, Robert Mason, Jasotha Sanmugarajah, H Laetitia Hattingh
• Journal: Emergency Cancer Care (Emerg Cancer Care) Vol. 1 Issue 1 Pg. 11 ( 2022) ISSN: 2731-4790 [Electronic] England
• PMID: 36211536 (Publication Type: Journal Article)
• Copyright: © The Author(s) 2022.